Comment by badsectoracula

> But I can assure you that "pandas count unique values column 'Foo'" is just as effective an LLM prompt as "Using pandas, how do I get the count of unique values in the column named 'Foo'?"

While the results are going to be similar, typing a question in full can help you think about it yourself too, as if the LLM is a rubber duck that can respond back.

I've found myself adjusting and rewriting prompts during the process of writing them before i ask the LLM anything because as i was writing the prompt i was thinking about the problem simultaneously.

Of course for simple queries like "write me a function in C that calculates the length of a 3d vector using vec3 for type" you can write it like "c function vec3 length 3d" or something like that instead and the LLM will give more or less the same response (tried it with Devstral).

But TBH to me that sounds like programmers using Vim claiming they're more productive than users of other editors because they have to use less keystrokes.